SECURE AND EFFICIENT IMAGE ENCRYPTION AND COMPRESSION APPROACH FOR PSEUDO COLOR IMAGE IN CLOUD STORAGE

Authors

  • Mamta Khanchandani, Dr. Sanjay Buch

Keywords:

Image encryption, Image compression, CNN, Autoencoder

Abstract

Due to the growing need for data and information transmission in a safe and secure manner, cryptographic and compression techniques are being used to protect and secure images. Cloud as a blooming technology offers numerous applications and services in today’s market to user’s on-demand in an inexpensive way. One can say that it is rightly hyped. The demand to store a large number of images on social media, E-Health and other domains has increased drastically over the years. Because of this increasing usage of digital images, an encryption technique followed with a compression technique that is faster and efficient is needed for cloud applications. The digital images are stored in the cloud server that can be accessed by the user when requires. This paper proposes a structured and comprehensive work of image cryptography and compression using hybrid encryption and Deep Learning in order to encrypt the image and also to reduce the storage capacity of the data with images. The strategy can provide storage efficiency through the way of compressing and reconstructing the image in future when needed.

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Published

2023-01-31

How to Cite

Mamta Khanchandani, Dr. Sanjay Buch. (2023). SECURE AND EFFICIENT IMAGE ENCRYPTION AND COMPRESSION APPROACH FOR PSEUDO COLOR IMAGE IN CLOUD STORAGE. International Journal of Advances in Soft Computing and Intelligent Systems (IJASCIS), 2(1), 48–55. Retrieved from https://sciencetransactions.com/index.php/ijascis/article/view/46

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